Geospatial Innovation · Agriculture
AI-powered geospatial platform integrating CORS, high-accuracy GPS, and Sentinel-2 imagery for precision farm mapping and crop analytics.
Powered by Stillsweb
SrajanAI delivers sub-meter accurate farm and block boundary mapping with CORS-based precision positioning, NDVI/NDWI crop health monitoring, and AI-driven decision support for precision agriculture in Varanasi.
Technology Readiness Level — TRL 7
Agricultural boundary mapping and farm-level decision-making often suffer from inaccurate land records, low-precision GPS data, and fragmented geospatial information, resulting in inefficient irrigation, crop planning, subsidy distribution, and land management.
An AI-powered geospatial solution that integrates Continuously Operating Reference Stations (CORS), high-accuracy GPS, Sentinel-2 satellite imagery, and machine learning to generate precise farm and block maps, crop health analytics, NDVI/NDWI indices, and decision-support tools for precision agriculture.
Sub-meter accurate farm and block boundary mapping.
CORS-based precision positioning for geospatial accuracy.
Crop health monitoring using vegetation and water indices.
AI-driven crop analytics and decision support.
Irrigation and fertilizer optimization recommendations.
Land ownership verification and dispute resolution support.
Provides highly accurate geospatial intelligence for agriculture, enabling precise farm mapping, improved crop planning, optimized irrigation and fertilizer use, transparent land records, faster dispute resolution, and data-driven decision-making for governments and financial institutions.
Pilot implementation across selected farms and FPOs, followed by integration with government land records, agricultural platforms, and large-scale district and state-level deployment.
Book a walkthrough of this project and the Operation Dronagiri sandbox, or bring a problem statement to Geo-Intel Lab.
